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The goal is to present the reinforcement learning problem in simple terms to explain the role that the RoQME QoS metrics can play. The example takes place in a ...
Aug 27, 2018 · This paper presents a preliminary work in which the estimation of these metrics at runtime (based on the contextual information available) can ...
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Cristina Vicente-Chicote Juan F. Inglés-Romero Juan M. Espín. Towards the Use of Quality-of-Service Metrics in Reinforcement Learning: A Robotics Example.
Performance metrics, such as Equal Error Rate or Detection. Cost Function, have been widely used to evaluate and com- pare biometric systems.
Jul 5, 2023 · This blog post explores the general idea of applying RL to the fast-growing domain of robotics, as well as potential applications, and outstanding challenges ...
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Oct 5, 2018 · Towards the Use of Quality-of-Service Metrics in Reinforcement Learning: A Robotics Example. October 2018. J. F. Inglés ...
In this article, we attempt to strengthen the links between the two research communities by providing a survey of work in reinforcement learning for behavior ...
In this paper we have developed and implemented two RL-based compensation schemes to improve the suboptimal tracking performance of a feedback controller in a ...
Mar 4, 2024 · I'm a high school student in an FRC(First robotics competition) team and was looking into using reinforcement learning for our robot.
Viewing robots as service agents that provide services to customers for value exchange, the study developed a scale to measure robotic service quality.
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